Triple

T29731625
Position Surface form Disambiguated ID Type / Status
Subject Superagui National Park E752336 entity
Predicate partOf P40 FINISHED
Object Lagamar estuarine complex
The Lagamar estuarine complex is a vast, biodiverse coastal lagoon and mangrove system along Brazil’s southeastern coast, recognized as one of the country’s most important wetland and marine conservation areas.
E1881021 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lagamar estuarine complex | Statement: [Superagui National Park, partOf, Lagamar estuarine complex]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lagamar estuarine complex
Triple: [Superagui National Park, partOf, Lagamar estuarine complex]
Generated description
The Lagamar estuarine complex is a vast, biodiverse coastal lagoon and mangrove system along Brazil’s southeastern coast, recognized as one of the country’s most important wetland and marine conservation areas.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f67330f92c8190bbfd0478bba8d17f completed May 2, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa85d5c4819081b4ec01341fb7da completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26b058df8c819092e2cd55bf17a5cb completed June 8, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_6a26b495ec448190ac88779dae9a72dc completed June 8, 2026, 12:24 p.m.
Created at: April 28, 2026, 7:43 p.m.